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Computer Science 논문 리뷰
Computer Science 분야 주요 연구 논문을 연구 동기·방법·결과로 구조화한 AI 논문 리뷰 목록입니다.
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필터
9999+개의 결과
MMA Training: Direct Input Space Margin Maximization through Adversarial Training
Gavin Weiguang Ding, Yash Sharma 외 2명
arXiv (Cornell University)
|
2018
|
95 회 인용
Motif-based Graph Self-Supervised Learning for Molecular Property Prediction
Zaixi Zhang, Qi Liu 외 3명
arXiv (Cornell University)
|
2021
|
95 회 인용
Multi-fidelity Bayesian Optimisation with Continuous Approximations
Kirthevasan Kandasamy, Gautam Dasarathy 외 2명
arXiv (Cornell University)
|
2017
|
95 회 인용
Not All Patches are What You Need: Expediting Vision Transformers via Token Reorganizations
Youwei Liang, Chongjian Ge 외 4명
arXiv (Cornell University)
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2022
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95 회 인용
Noun-Phrase Analysis in Unrestricted Text for Information Retrieval
David A. Evans, ChengXiang Zhai
ArXiv.org
|
1996
|
95 회 인용
Optimal Client Sampling for Federated Learning
Wenlin Chen, Samuel Horváth 외 1명
arXiv (Cornell University)
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2020
|
95 회 인용
Optimal Target Assignment and Path Finding for Teams of Agents
Hang Ma, Sven Koenig
arXiv (Cornell University)
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2016
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95 회 인용
Parallel Distributed Logistic Regression for Vertical Federated Learning without Third-Party Coordinator
Shengwen Yang, Bing Ren 외 2명
arXiv (Cornell University)
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2019
|
95 회 인용
Performance Comparison of SVM and ANN for Handwritten Devnagari Character Recognition
Sandhya Arora, Debotosh Bhattacharjee 외 4명
arXiv (Cornell University)
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2010
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95 회 인용
PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding
Saining Xie, Jiatao Gu 외 4명
arXiv (Cornell University)
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2020
|
95 회 인용
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